Course Overview
- Course Title: Master in Data Analysis and Analytics
- Instructor: Arun Singhal
- Target Audience:
- Beginners in Data Analysis
- Professionals looking to enhance their skills
- Students interested in Data Analytics
- Prerequisites:
- Basic understanding of data concepts
- Interest in Data Analysis and Analytics
Curriculum Highlights
- Key Topics Covered:
- What is Data Analysis & Analytics
- Difference between Data Analysis & Analytics, Business Analytics, and Data Science
- Case Studies of Excellence in Data Analysis & Analytics
- Building excellence in Data Analysis & Analytics
- Ensuring Data Quality & Integrity
- Centralizing Data with a Modern Infrastructure
- Different Types of Analytics
- Right Tools & Technologies
- Understanding Business Needs & KPIs
- Data-Driven Decision-Making Culture
- Automating Reporting and Dashboards
- Scalable Cloud & AI Solutions
- Strong Visualization Skill
- Translating Data into Actionable Insights
- Ensuring Data Privacy & Compliance
- Preventing Bias & Ensuring Transparency
- Key Skills Learned:
- Data Quality & Integrity
- Data Centralization
- Analytics Application
- Tool & Technology Selection
- Business Needs & KPIs Understanding
- Data-Driven Decision Making
- Reporting & Dashboard Automation
- Cloud & AI Solutions
- Data Visualization
- Actionable Insights Translation
- Data Privacy & Compliance
- Bias Prevention & Transparency
Course Format
- Duration:
- 5.5 hours on-demand video
- Format:
- Self-paced online course
- Resources:
- 38 downloadable resources
- Access on mobile and TV
- Certificate of completion
Special Offer (If Applicable)
- Limited Time Coupon Code: N/A